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Source channel @githubtrending · Post #14635 · Apr 26

#typescript Rowboat is a tool that helps you build complex workflows using AI. You can start with just an idea, and Rowboat's AI copilot will create the workflow for you. For example, you can ask it to build an assistant for a food delivery company. Rowboat connects easily with other tools and systems, and you can integrate it into your apps using a simple API or Python SDK. This makes it fast and easy to create and use multi-agent systems, which is beneficial because it saves time and requires minimal programming knowledge. https://github.com/rowboatlabs/rowboat

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The Devs

@thedevs · Post #1159 · 06/29/2018, 06:52 PM

A plain English introduction to JSON web tokens (JWT): what it is and what it isn’t. #article#jwt#security#coding#js @thedevs https://kutt.it/ibVW1N

djangoproject

@djangoproject · Post #389 · 07/21/2017, 03:12 PM

https://thinkster.io/topics/django Looking to build #fullstack apps with #Django? Looking to build a production ready Django #JSON#API? Building a Production Ready Django JSON API 🔸Setting up #JWT Authentication 🔸Profiles 🔸Articles 🔸Comments 🔸Following 🔸Favoriting 🔸Tagging 🔸Pagination 🔸Filtering 🔸Conclusion Configuring Django Settings for Production Building #Web#Applications with Django and #AngularJS 🔸Learning Django and AngularJS 🔸Setting up your environment 🔸Extending Django's built-in User model 🔸Serializing the Account Model 🔸Registering new users 🔸Logging users in 🔸Logging users out 🔸Making a Post model 🔸Rendering Post objects 🔸Making new posts 🔸Displaying user profiles 🔸Updating user profiles 🔸Congratulations, you did it!

GitHub Trends

@githubtrending · Post #15066 · 08/16/2025, 12:30 PM

#python#agents#ai#api_gateway#asyncio#authentication_middleware#devops#docker#fastapi#federation#gateway#generative_ai#jwt#kubernetes#llm_agents#mcp#model_context_protocol#observability#prompt_engineering#python#tools The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure. https://github.com/IBM/mcp-context-forge